Kom på kursus i R for social data science

R for Social Data Science – An Introduction

The world today generates a huge amount of data. Turning these data into meaningful and useful knowledge requires specialized tools and skills. On this course you will be introduced to the open-source software R, a leading data science tool, and learn to use it to turn data into applicable knowledge.

R has grown rapidly to become one of the most widely-used programming languages for statistical analyses in the social and economic data sciences. This is primarily due to its incredible versatility and prepackaged tools, which are at the cutting edge of data analysis technology. On top of that, R is also an ideal environment for socio-economic research, offering many powerful packages tailored to analyzing, visualizing, and documenting surveys and other types of data common in the social and economic sciences. This course provides a thorough introduction to R for modern social data science.

The course introduces participants to the R programming language, a collection of prepackaged tools useful for socio-economic research, and the RStudio environment. The course goal is for participants to feel comfortable with using these tools for their existing and future data analysis needs.

Core elements:

  • RStudio: An integrated development environment for R, which supports interactive data analysis, building data analysis pipelines, and R software development
  • Tidyverse: A framework and collection of R packages centered on the concept of tidy data
  • Visualization: High-quality figures are created from structured specifications using the R package ggplot2
  • Reproducible analysis: Automatic and reproducible reports are written and generated using R Markdown
  • Value generation – the role of clinical trials, real-world evidence, life-cycle management, and health economics

Teaching material:

This course is based on the book “R for Data Science” (2016) by Garrett Grolemund and Hadley Wickham which participants can access for free here.

While R is a highly versatile programming language, this course takes a pragmatic approach by teaching participants to use existing packages to conduct sophisticated socio-economic research. This means that participants need no prior programming experience to attend the course. Rather, the course is tailored for participants who have some experience with socio-economic research and want to learn how to leverage R to streamline their workflow and implement cutting-edge methods.

The course is particularly suited for:

  • Individuals with experience in working with Excel, Stata or SPSS who would like to switch to R
  • • Individuals with some R experience and an interest in learning more about RStudio, R Markdown, and the tidyverse

R (www.r-project.org) and RStudio (www.rstudio.com) are open source and available free of change. Participants are expected to bring a laptop and will be instructed in how to install R.


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Course directors on R for Social Data Science

Course information on R for Social Data Science

Duration: 5 days
Dates and time: August 17-21, 2020, 9 am - 4.30 pm
Price: EUR 2,680 (DKK 19,900) excl. Danish VAT. The price includes tuition, course material and full board during the course.
Language: English
Location: South Campus, Faculty of Law, Njalsgade 76, DK-2300 Copenhagen S, Denmark
Registration deadline: June 14, 2020
Contact: Copenhagen Summer University
+45 3533 3423